) KDnuggets™ News 15:n22, Jul 15: Deep Learning, Empiricism, & Perfect Girl; 50+ Cheat Sheets; R vs Python
Deep Learning and the Triumph of Empiricism; 50+ Data Science and Machine Learning Cheat Sheets; 3 Ways to Master Uplift Modeling; Can Deep Learning Help you Find the Perfect Girl?
Features | Software | Tutorials | Opinions | Interviews | News | Webcasts | Meetings | Jobs | Publications | Tweets | Quote
Features
- Deep Learning and the Triumph of Empiricism
- 50+ Data Science and Machine Learning Cheat Sheets
R, Python users show surprising stability, but strong regional differences
- Can deep learning help find the perfect girl?
- Cartoon: Where humans are still ahead of Deep Learning
- Data Science and Big Data: Two very Different Beasts
- 3 Ways to Master Uplift Modeling
Software
- Continually Updated Data Science IPython Notebooks
- ParseHub gives Data Scientists a better, faster way to collect data
- Dataiku Data Science Studio - intuitive solution for data professionals
- Standardizing the World of Machine Learning Web Service APIs
Tutorials, Overviews, How-Tos
- Hotlist of Training resources for Predictive Analytics
- Emacs for Data Science
- 10 Key Tips for Entry-Level Analytics Professionals
Opinions
- How to properly present a Data Mining project?
- Can Deep Learning Help you Find the Perfect Girl? - Part 2
- Lund University Develops an Artificial Neural Network for Matching Heart Transplant Donors with Recipients
- Data Science Made in Switzerland
- The Definitive Guide to doing Data Science for Social Good
- Doubt and Verify: Data Science Power Tools
- The missing D in Data Science
Interviews
- Interview: Ramkumar Ravichandran, Visa on Actionable Insights - Easier Said Than Done
- Interview: Reiner Kappenberger, HP Security Voltage on Security Checklist for Data Architectures
- Interview: Reiner Kappenberger, HP Security Voltage on How to Secure Data-in-Motion
- Interview: Reiner Kappenberger, HP Security Voltage on Data-Centric Security for Big Data
- KDnuggets Interview: Amr Awadallah, CTO & Co-founder, Cloudera on the Secret Sauce of Open Source
News
- Global Data Competition focused on Climate Change
- Top stories for Jul 5-11: Deep Learning and the Triumph of Empiricism; Data Science != Big Data
- Top stories for Jun 28 - Jul 4: Top 20 R packages by popularity; Nine Laws of Data Mining
- Top /r/MachineLearning Posts, June: Neural Network Generated Images, Free Data Science Books, Super Mario World
Webcasts and Webinars
- Upcoming Webcasts on Analytics, Big Data, Data Science - Jul 14 and beyond
- Lavastorm Webinar, July 22: Data Lake - Five Tips to Navigate the Dangerous Waters
- Webinar: Tips & Tricks for Customer Segmentation, July 21
Meetings
- 3 Ways to Master Uplift Modeling
- 7 must attend Big Data Conferences - best price ends soon
- Big Data Innovation Summit, Boston, Sep 9-10
- Strata + Hadoop World, New York City, Sep 29 - Oct 1
- 70+ upcoming July - December Meetings in Analytics, Big Data, Data Mining, Data Science
- DataLead - Leading the Way in Big Data, Paris, Nov 5-6
Jobs
- Macy's: VP, Marketing Data Science and Analytics
- Apple: Data Mining Scientist
- Corios LLC: Analytics Consultant
- Deloitte Analytics Institute (CQ GDC): Data Scientist - Advanced Analytics Modeling Specialist
- Merkle: Data Operations Lead
- Apple: Data Science Engineer
Publications
- Consumer and Market Research Info Kit
- Text Analytics Demands Insight, Intelligence and Integration - Free White Paper
Top Tweets
- Top KDnuggets tweets, Jul 7-13: Deep Learning and the Triumph of Empiricism
- Top KDnuggets tweets, Jun 30 - Jul 06: Click Testing Proved that Beards Are Still A Thing; 16 Free #DataScience Books
Quote
"It is a capital mistake to theorize before one has data" - Sherlock Holmes, A Scandal in Bohemia
Top Stories Past 30 Days
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Data Science Learning Roadmap for 2021